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    HomeResearch, Evaluations, Maps, and DataIdentifying Bright Spots in Appalachian Health: Statistical Analysis

      	
	
Identifying Bright Spots in Appalachian Health: Statistical Analysis
	
			Public HealthResearch Reports
	
				
	
	
	**Author(s):** G. Mark Holmes, Nancy M. Lane, William Holding, Randy Randolph, Jonathan Rodgers, Pam Silberman, Lisa Villamil, Thomas A. Arcury, Kelly Ivey, Daniel Goolsby, Ashli Keyser, and J&J Editorial
            **Author Organization(s):** Appalachian Regional Commission; PDA, Inc.; Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill
        The second report in a series exploring health issues in Appalachia, *Identifying Bright Spots in Appalachian Health: Statistical Analysis* describes the results of a regression analysis used to assess how each of the Appalachian Region’s 420 counties scored on 19 different health indicators, and then identifies counties with better-than-expected outcomes, given their characteristics and resource levels. Through this process, 42 Appalachian counties were classified as “Bright Spot” counties.

This report follows the series’ first report, *Health Disparities in Appalachia*, and is a companion piece to the third report, *Exploring Bright Spots in Appalachian Health: Case Studies*.




Full Report
			
															
				
Bright Spots Statistical Analysis July 2018 – pdf 7 MB





Executive Summary
			
															
				
Bright Spots Statistical Analysis-Executive Summary July 2018 – pdf 735 KB


**Report Data Files**County-Level Data (Excel file: 2.1 MB)
Data Sources (Excel file: 20 KB)
Multivariate Regression Results (Excel file: 2 MB)
Univariate Regression Results (Excel file: 52 KB)
Euclidean Distance Analysis (Excel file: 50 KB) Appalachian Regional Commission

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